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Safwan Islam

Machine Learning Solutions Architect

Safwan Islam is a Machine Learning Solutions Architect at phData since January 2017, where responsibilities include implementing Airflow using Terraform, executing Airflow tasks, and integrating MLFlow and Arize into machine learning workflows. Previous roles include Senior Machine Learning Engineer, Machine Learning Engineer, and Senior Data Engineer, focusing on designing automated data pipelines and deploying large supply-chain projects. Prior experience at Ameriprise Financial Services, Inc. as a Technology Leadership Development Program Associate involved various technical roles, including developing reports and scripting. Additional experience includes serving as an Undergraduate Teaching Assistant and Research Fellow at the University of Minnesota, contributing to coursework and research related to machine learning algorithms. Safwan Islam holds a Computer Science degree with a focus on Big Data from the University of Minnesota.

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